*Further Test Informal Standing, PTA and Controlling for Environmental Agreements

clear
eststo clear

*cd "~/Dropbox/Donor Adjustment/Replication/"
use "CombinedData.dta", clear

order WDI_Name id year
xtset id year

*** DATA MANIPULATION

gen log_SO2 = log(SO2+1)
label var log_SO2 "log (SO2)"
replace CO2=0 if CO2 < 0
gen log_CO2 = log(CO2+1)
label var log_CO2 "log (CO2)"
gen log_BOD = log(BOD)
label var log_BOD "log (BOD)"
gen log_gdp = log(gdp)
gen log_PM10 = log(pm10)
label var log_PM10 "log (PM10)"
label var log_gdp "log (GDP)" 
gen log_gdp_pc = log(gdp_pc)
label var log_gdp_pc "log (GDP p.c.)"
gen pop = gdp/gdp_pc
gen log_pop = log(pop)
label var log_pop "log (Population)"
label var polity2 "Polity"
gen time = year-1960
gen time2 = time^2
gen time3 = time^3
gen wto_polity2 = wto * polity2
encode(region), gen(region_id)

gen log_deforest=log(deforest+1)

gen envmin=env_ministry_real
by id (year), sort: replace envmin =. if envmin[_n-1]== 1 
by id (year), sort: replace envmin =. if envmin== 1 & envmin[_n-1]==.

gen FIT1=FIT
by id (year), sort: replace FIT1 =. if FIT1[_n-1]== 1 
by id (year), sort: replace FIT1 =. if FIT1== 1 & FIT1[_n-1]==.
replace FIT1=1 if id==72 & year==1990

*** DYNAMIC MODEL FOR POLLUTION

gen L1log_SO2=L1.log_SO2
label var L1log_SO2 "log(SO2) (t-1)" 
gen L1log_CO2=L1.log_CO2
label var L1log_CO2 "log(CO2) (t-1)"
gen L1log_BOD=L1.log_BOD
label var L1log_BOD "log(BOD) (t-1)"
gen L1log_PM10=L1.log_PM10
label var L1log_PM10 "log(PM10) (t-1)"

gen L1gatt_wto=L1.gatt_wto
label var L1gatt_wto "GATT/WTO Membership (t-1)"
gen L1log_gdp_pc=L1.log_gdp_pc
label var L1log_gdp_pc "log(GDP p.c) (t-1)"
gen L1log_pop=L1.log_pop
label var L1log_pop "log(population) (t-1)"
gen L1life_expectancy=L1.life_expectancy
label var L1life_expectancy "Life expectancy (t-1)"
label var life_expectancy "Life expectancy"
gen L1polity2=L1.polity2
label var L1polity2 "Polity (t-1)"
gen L1log_environment=L1.log_environment
label var L1log_environment "log(Environmental Aid) (t-1)"
gen L1log_neutral=L1.log_neutral
label var L1log_neutral "log(Neutral Aid) (t-1)"
gen L1log_dirty=L1.log_dirty
label var L1log_dirty "log(Dirty Aid) (t-1)"
label var urban_pop_per "Urban Population $\%$" 
gen L1urban_pop_per=L1.urban_pop_per
label var L1urban_pop_per "Urban Population $\%$ (t-1)"
gen L1electricity_coal_production=L1.electricity_coal_production 
label var L1electricity_coal_production "Electricity from Coal $\%$ (t-1)" 
label var electricity_coal_production "Electricity from Coal"
gen L1electricity_production_renew=L1.electricity_production_renew
label var L1electricity_production_renew "Electricity from Renewable Energy $\%$ (t-1)" 
label var electricity_production_renew "Electricity from Renewables"
gen L1wto=L1.wto
label var L1wto "WTO Membership (t-1)"
label var wto "WTO Membership"

gen L1gatt_wto_informal=L1.gatt_wto_informal
label var L1gatt_wto_informal "GATT/WTO Informal Standing (t-1)"
label var gatt_wto_informal "GATT/WTO Informal Standing"

egen PTA = rowtotal(USPTA JapanPTA EFTAPTA EUPTA)

gen post_tokyo = 0 
replace post_tokyo = 1 if year > 1979
label var post_tokyo "Post-Tokyo Round"

gen post_uruguay = 0 
replace post_uruguay = 1 if year > 1994
label var post_uruguay "Post-Uruguay Round"

gen L1post_tokyo_gatt_wto = L1gatt_wto * L1.post_tokyo
label var L1post_tokyo_gatt_wto "GATT/WTO Membership * Post-Tokyo (t-1)"

gen post_tokyo_gatt_wto = gatt_wto * post_tokyo
label var post_tokyo_gatt_wto "GATT/WTO Membership * Post-Tokyo"

gen L1post_uruguay_gatt_wto = L1gatt_wto * L1.post_uruguay
label var L1post_uruguay_gatt_wto "GATT/WTO Memberhsip * Post-Uruguay (t-1)"

gen post_uruguay_gatt_wto = gatt_wto * post_uruguay
label var post_uruguay_gatt_wto "GATT/WTO Memberhsip * Post-Uruguay"

gen L1auto_emissions_reg=L1.auto_emissions_reg
label var L1auto_emissions_reg "Auto Emission Standards (t-1)"


*cd "~/Dropbox/Donor Adjustment/Replication/check"


*Table A112: Difference in Difference: Estimating the Impact of GATT/WTO on Pollution Level
eststo clear
eststo: xi: xtreg log_SO2 gatt_wto gatt_wto_informal i.year,  fe robust
eststo: xi: xtreg log_SO2 gatt_wto gatt_wto_informal polity2 log_gdp_pc log_pop i.year,  fe robust
eststo: xi: xtreg log_SO2 gatt_wto gatt_wto_informal polity2 log_gdp_pc log_pop life_expectancy urban_pop_per i.year,  fe robust
eststo: xi: xtreg log_CO2 gatt_wto gatt_wto_informal i.year ,  fe robust
eststo: xi: xtreg log_CO2 gatt_wto gatt_wto_informal polity2 log_gdp_pc log_pop i.year  ,  fe robust
eststo: xi: xtreg log_CO2 gatt_wto gatt_wto_informal polity2 log_gdp_pc log_pop life_expectancy urban_pop_per i.year  ,  fe robust
*esttab using "Pollution1(did)Standing.tex", booktabs label title(Difference in Difference: Estimating the Impact of GATT/WTO on Pollution Level \label{pollution1(DID)s}) keep(gatt_wto gatt_wto_informal polity2 log_gdp_pc log_pop life_expectancy urban_pop_per) order (gatt_wto gatt_wto_informal polity2 log_gdp_pc log_pop life_expectancy urban_pop_per)  mtitles ("" "" "" "" "" "")  stats(N_g N, labels(Countries Observations) fmt(0 0)) indicate("Year FE=_Iyear_*"  ) nodepvars se(3) b(3) replace star(* 0.10 ** 0.05 *** 0.01) compress nogaps

*Table A113: Dynamic Model: Estimating the Impact of GATT/WTO on Pollution Level
eststo clear
eststo: xi: xtreg log_SO2 L1log_SO2 L1gatt_wto L1gatt_wto_informal i.year i.region, robust 
eststo: xi: xtreg log_SO2 L1log_SO2 L1gatt_wto L1gatt_wto_informal L1polity2 L1log_gdp_pc L1log_pop  i.year i.region, robust
eststo: xi: xtreg log_SO2 L1log_SO2 L1gatt_wto L1gatt_wto_informal L1polity2 L1log_gdp_pc L1log_pop L1life_expectancy L1urban_pop_per i.year i.region, robust
eststo: xi: xtreg log_CO2 L1log_CO2 L1gatt_wto L1gatt_wto_informal i.year i.region , robust
eststo: xi: xtreg log_CO2 L1log_CO2 L1gatt_wto L1gatt_wto_informal L1polity2 L1log_gdp_pc L1log_pop  i.year i.region, robust
eststo: xi: xtreg log_CO2 L1log_CO2 L1gatt_wto L1gatt_wto_informal L1polity2 L1log_gdp_pc L1log_pop L1life_expectancy L1urban_pop_per i.year i.region, robust
*esttab using "Pollution1(dynamic)Standing.tex", booktabs label title(Dynamic Model: Estimating the Impact of GATT/WTO on Pollution Level \label{pollution1(Dynamic)s}) keep (L1log_SO2 L1log_CO2 L1gatt_wto L1gatt_wto_informal L1polity2 L1log_gdp_pc L1log_pop L1life_expectancy L1urban_pop_per) order (L1gatt_wto L1gatt_wto_informal L1polity2 L1log_gdp_pc L1log_pop L1life_expectancy L1urban_pop_per L1log_SO2 L1log_CO2 )  mtitles ("" "" "" "" "" "")  stats(N_g N, labels(Countries Observations) fmt(0 0)) indicate("Year FE=_Iyear_*" "Region FE=_Iregion_*" ) nodepvars se(3) b(3) replace star(* 0.10 ** 0.05 *** 0.01) compress nogaps

*Table A114: Difference in Difference: Estimating the Impact of GATT/WTO on Pollution Level
eststo clear
eststo: xi: xtreg log_BOD gatt_wto gatt_wto_informal i.year  ,  fe robust
eststo: xi: xtreg log_BOD gatt_wto gatt_wto_informal polity2 log_gdp_pc log_pop i.year  ,  fe robust
eststo: xi: xtreg log_BOD gatt_wto gatt_wto_informal polity2 log_gdp_pc log_pop life_expectancy urban_pop_per i.year  ,  fe robust
eststo: xi: xtreg log_PM10 gatt_wto gatt_wto_informal i.year  ,  fe robust
eststo: xi: xtreg log_PM10 gatt_wto gatt_wto_informal polity2 log_gdp_pc log_pop i.year  ,  fe robust
eststo: xi: xtreg log_PM10 gatt_wto gatt_wto_informal polity2 log_gdp_pc log_pop life_expectancy urban_pop_per i.year  ,  fe robust
*esttab using "Pollution2(did)Standing.tex", booktabs label title(Difference in Difference: Estimating the Impact of GATT/WTO on Pollution Level \label{pollution2(DID)s}) keep(gatt_wto gatt_wto_informal polity2 log_gdp_pc log_pop life_expectancy urban_pop_per) order (gatt_wto gatt_wto_informal polity2 log_gdp_pc log_pop life_expectancy urban_pop_per)  mtitles ("" "" "" "" "" "")  stats(N_g N, labels(Countries Observations) fmt(0 0)) indicate("Year FE=_Iyear_*"  ) nodepvars se(3) b(3) replace star(* 0.10 ** 0.05 *** 0.01) compress nogaps

*Table A115: Dynamic Model: Estimating the Impact of GATT/WTO on Pollution Level
set more 1
eststo clear
eststo: xi: xtreg log_BOD L1log_BOD L1gatt_wto L1gatt_wto_informal i.year i.region , robust
eststo: xi: xtreg log_BOD L1log_BOD L1gatt_wto L1gatt_wto_informal L1polity2 L1log_gdp_pc L1log_pop  i.year i.region, robust
eststo: xi: xtreg log_BOD L1log_BOD L1gatt_wto L1gatt_wto_informal L1polity2 L1log_gdp_pc L1log_pop L1life_expectancy L1urban_pop_per i.year i.region, robust
eststo: xi: xtreg log_PM10 L1log_PM10 L1gatt_wto L1gatt_wto_informal i.year i.region , robust
eststo: xi: xtreg log_PM10 L1log_PM10 L1gatt_wto L1gatt_wto_informal L1polity2 L1log_gdp_pc L1log_pop  i.year i.region, robust
eststo: xi: xtreg log_PM10 L1log_PM10 L1gatt_wto L1gatt_wto_informal L1polity2 L1log_gdp_pc L1log_pop L1life_expectancy L1urban_pop_per i.year i.region, robust
*esttab using "Pollution2(dynamic)Standing.tex", booktabs label title(Dynamic Model: Estimating the Impact of GATT/WTO on Pollution Level \label{pollution2(Dynamic)s}) keep (L1log_BOD L1log_PM10 L1gatt_wto L1gatt_wto_informal L1polity2 L1log_gdp_pc L1log_pop L1life_expectancy L1urban_pop_per) order (L1gatt_wto L1gatt_wto_informal L1polity2 L1log_gdp_pc L1log_pop L1life_expectancy L1urban_pop_per L1log_BOD L1log_PM10 )  mtitles ("" "" "" "" "" "")  stats(N_g N, labels(Countries Observations) fmt(0 0)) indicate("Year FE=_Iyear_*" "Region FE=_Iregion_*" ) nodepvars se(3) b(3) replace star(* 0.10 ** 0.05 *** 0.01) compress nogaps

*Table A116: Difference in Difference: Estimating the Impact of GATT/WTO on Energy Use
eststo clear
eststo: xi: xtreg electricity_coal_production gatt_wto gatt_wto_informal i.year  ,  fe robust
eststo: xi: xtreg electricity_coal_production gatt_wto gatt_wto_informal polity2 log_gdp_pc log_pop i.year  ,  fe robust
eststo: xi: xtreg electricity_coal_production gatt_wto gatt_wto_informal polity2 log_gdp_pc log_pop life_expectancy urban_pop_per i.year  ,  fe robust
eststo: xi: xtreg electricity_production_renew gatt_wto gatt_wto_informal i.year  ,  fe robust
eststo: xi: xtreg electricity_production_renew gatt_wto gatt_wto_informal polity2 log_gdp_pc log_pop i.year  ,  fe robust
eststo: xi: xtreg electricity_production_renew gatt_wto gatt_wto_informal polity2 log_gdp_pc log_pop life_expectancy urban_pop_per i.year  ,  fe robust
*esttab using "Energy(did)Standing.tex", booktabs label title(Difference in Difference: Estimating the Impact of GATT/WTO on Energy Use \label{energy(DID)s}) keep (gatt_wto gatt_wto_informal polity2 log_gdp_pc log_pop life_expectancy urban_pop_per) order (gatt_wto gatt_wto_informal polity2 log_gdp_pc log_pop life_expectancy urban_pop_per)  mtitles ("" "" "" "" "" "" "" "" "")  stats(N_g N, labels(Countries Observations) fmt(0 0)) indicate("Year FE=_Iyear_*" ) nodepvars se(3) b(3) replace star(* 0.10 ** 0.05 *** 0.01) compress nogaps

*Table A117: Dynamic Model: Estimating the Impact of GATT/WTO on Energy Use
eststo clear
eststo: xi: xtreg electricity_coal_production L1electricity_coal_production L1gatt_wto L1gatt_wto_informal i.year i.region , robust
eststo: xi: xtreg electricity_coal_production L1electricity_coal_production L1gatt_wto L1gatt_wto_informal L1polity2 L1log_gdp_pc L1log_pop  i.year i.region, robust
eststo: xi: xtreg electricity_coal_production L1electricity_coal_production L1gatt_wto L1gatt_wto_informal L1polity2 L1log_gdp_pc L1log_pop L1life_expectancy L1urban_pop_per i.year i.region, robust
eststo: xi: xtreg electricity_production_renew L1electricity_production_renew L1gatt_wto L1gatt_wto_informal i.year i.region , robust
eststo: xi: xtreg electricity_production_renew L1electricity_production_renew L1gatt_wto L1gatt_wto_informal L1polity2 L1log_gdp_pc L1log_pop  i.year i.region, robust
eststo: xi: xtreg electricity_production_renew L1electricity_production_renew L1gatt_wto L1gatt_wto_informal L1polity2 L1log_gdp_pc L1log_pop L1life_expectancy L1urban_pop_per i.year i.region, robust
*esttab using "Energy(dynamic)Standing.tex", booktabs label title(Dynamic Model: Estimating the Impact of GATT/WTO on Energy Use \label{energy(Dynamic)s}) keep (L1electricity_coal_production L1electricity_production_renew L1gatt_wto L1gatt_wto_informal L1polity2 L1log_gdp_pc L1log_pop L1life_expectancy L1urban_pop_per) order (L1gatt_wto L1gatt_wto_informal L1polity2 L1log_gdp_pc L1log_pop L1life_expectancy L1urban_pop_per L1electricity_coal_production L1electricity_production_renew)  mtitles ("" "" "" "" "" "")  stats(N_g N, labels(Countries Observations) fmt(0 0)) indicate("Year FE=_Iyear_*" "Region FE=_Iregion_*" ) nodepvars se(3) b(3) replace star(* 0.10 ** 0.05 *** 0.01) compress nogaps

*Table A118: Probit: Estimating the Impact of GATT/WTO on FIT
eststo clear
eststo: xtprobit FIT1 gatt_wto gatt_wto_informal  time time2 time3 i.region_id
eststo:  xtprobit FIT1 gatt_wto gatt_wto_informal polity2 log_gdp_pc log_pop i.region_id time time2 time3 
eststo:  xtprobit FIT1 gatt_wto gatt_wto_informal polity2 log_gdp_pc log_pop life_expectancy urban_pop_per i.region_id time time2 time3
*esttab using "FIT&ENVMIN(probit)Standing.tex", booktabs label title(Probit: Estimating the Impact of GATT/WTO on FIT and Environmental Ministry \label{FIT&ENV(PROBIT)s}) keep (gatt_wto gatt_wto_informal polity2 log_gdp_pc log_pop life_expectancy urban_pop_per) order (gatt_wto gatt_wto_informal polity2 log_gdp_pc log_pop life_expectancy urban_pop_per)  mtitles ("" "" "" "" "" "" )  stats(N_g N, labels(Countries Observations) fmt(0 0)) indicate("Time Trend=time")  nodepvars se(3) b(3) replace star(* 0.10 ** 0.05 *** 0.01) compress nogaps

*Table A119: Estimating the Impact of GATT/WTO on Auto Emission Standards
eststo clear
eststo: xi: xtoprobit auto_emissions_reg gatt_wto gatt_wto_informal polity2 log_gdp_pc L1auto_emissions_reg time time2 i.region , vce(robust)
eststo: xi: xtoprobit auto_emissions_reg gatt_wto gatt_wto_informal polity2 log_gdp_pc life_expectancy urban_pop_per L1auto_emissions_reg time i.region, vce(robust)
eststo: xi: xtoprobit auto_emissions_reg gatt_wto gatt_wto_informal polity2 log_gdp_pc life_expectancy urban_pop_per L1auto_emissions_reg time time2 i.region if oecd==0, vce(robust)
*esttab using "AutoEmissionGATTStanding.tex", booktabs label title (Estimating the Impact of GATT/WTO on Auto Emission Standards \label{emissiongatts}) keep (gatt_wto gatt_wto_informal polity2 log_gdp_pc life_expectancy urban_pop_per L1auto_emissions_reg) order (gatt_wto gatt_wto_informal polity2 log_gdp_pc life_expectancy urban_pop_per L1auto_emissions_reg) mtitles ("" "" "Non-OECD" "" "" "Non-OECD") stats (N_g N, labels (Countries Observations) fmt(00)) indicate("Time Trned=time" "Region FE=_Iregion_*" ) nodepvars se(3) b(3) replace star(* 0.10 ** 0.05 *** 0.01) compress nogaps

*****PTA*****
gen L1PTA=L1.PTA
label var L1PTA "Number of PTAs with North (t-1)"
label var PTA "Number of PTAs with North"


*Table A121: Difference in Difference: Estimating the Impact of PTA on Pollution Leve
eststo clear
eststo: xi: xtreg log_SO2 PTA i.year if oecd==0,  fe robust
eststo: xi: xtreg log_SO2 PTA polity2 log_gdp_pc log_pop i.year if oecd==0,  fe robust
eststo: xi: xtreg log_SO2 PTA polity2 log_gdp_pc log_pop life_expectancy urban_pop_per i.year if oecd==0,  fe robust
eststo: xi: xtreg log_CO2 PTA i.year  if oecd==0,  fe robust
eststo: xi: xtreg log_CO2 PTA polity2 log_gdp_pc log_pop i.year  if oecd==0,  fe robust
eststo: xi: xtreg log_CO2 PTA polity2 log_gdp_pc log_pop life_expectancy urban_pop_per i.year  if oecd==0,  fe robust
*esttab using "Pollution1(did)PTA2.tex", booktabs label title(Difference in Difference: Estimating the Impact of PTA on Pollution Level \label{pollution1(DID)PTA}) keep(PTA polity2 log_gdp_pc log_pop life_expectancy urban_pop_per) order (PTA polity2 log_gdp_pc log_pop life_expectancy urban_pop_per)  mtitles ("" "" "" "" "" "")  stats(N_g N, labels(Countries Observations) fmt(0 0)) indicate("Year FE=_Iyear_*"  ) nodepvars se(3) b(3) replace star(* 0.10 ** 0.05 *** 0.01) compress nogaps

*Table A122: Dynamic Model: Estimating the Impact of PTA on Pollution Level
set more 1
eststo clear
eststo: xi: xtreg log_SO2 L1log_SO2 L1PTA i.year i.region if oecd==0, robust 
eststo: xi: xtreg log_SO2 L1log_SO2 L1PTA L1polity2 L1log_gdp_pc L1log_pop  i.year i.region if oecd==0, robust
eststo: xi: xtreg log_SO2 L1log_SO2 L1PTA L1polity2 L1log_gdp_pc L1log_pop L1life_expectancy L1urban_pop_per i.year i.region if oecd==0, robust
eststo: xi: xtreg log_CO2 L1log_CO2 L1PTA i.year i.region if oecd==0, robust
eststo: xi: xtreg log_CO2 L1log_CO2 L1PTA L1polity2 L1log_gdp_pc L1log_pop  i.year i.region if oecd==0, robust
eststo: xi: xtreg log_CO2 L1log_CO2 L1PTA L1polity2 L1log_gdp_pc L1log_pop L1life_expectancy L1urban_pop_per i.year i.region if oecd==0, robust
*esttab using "Pollution1(dynamic)PTA2.tex", booktabs label title(Dynamic Model: Estimating the Impact of PTA on Pollution Level \label{pollution1(Dynamic)PTA}) keep (L1log_SO2 L1log_CO2 L1PTA L1polity2 L1log_gdp_pc L1log_pop L1life_expectancy L1urban_pop_per) order (L1PTA L1polity2 L1log_gdp_pc L1log_pop L1life_expectancy L1urban_pop_per L1log_SO2 L1log_CO2 )  mtitles ("" "" "" "" "" "")  stats(N_g N, labels(Countries Observations) fmt(0 0)) indicate("Year FE=_Iyear_*" "Region FE=_Iregion_*" ) nodepvars se(3) b(3) replace star(* 0.10 ** 0.05 *** 0.01) compress nogaps

*Table A123: Difference in Difference: Estimating the Impact of PTA on Pollution Level
eststo clear
eststo: xi: xtreg log_BOD PTA i.year if oecd==0 ,  fe robust
eststo: xi: xtreg log_BOD PTA polity2 log_gdp_pc log_pop i.year  if oecd==0,  fe robust
eststo: xi: xtreg log_BOD PTA polity2 log_gdp_pc log_pop life_expectancy urban_pop_per i.year if oecd==0 ,  fe robust
eststo: xi: xtreg log_PM10 PTA i.year if oecd==0 ,  fe robust
eststo: xi: xtreg log_PM10 PTA polity2 log_gdp_pc log_pop i.year   if oecd==0,  fe robust
eststo: xi: xtreg log_PM10 PTA polity2 log_gdp_pc log_pop life_expectancy urban_pop_per i.year  if oecd==0,  fe robust
*esttab using "Pollution2(did)PTA2.tex", booktabs label title(Difference in Difference: Estimating the Impact of PTA on Pollution Level \label{pollution2(DID)PTA}) keep(PTA polity2 log_gdp_pc log_pop life_expectancy urban_pop_per) order (PTA polity2 log_gdp_pc log_pop life_expectancy urban_pop_per)  mtitles ("" "" "" "" "" "")  stats(N_g N, labels(Countries Observations) fmt(0 0)) indicate("Year FE=_Iyear_*"  ) nodepvars se(3) b(3) replace star(* 0.10 ** 0.05 *** 0.01) compress nogaps

*Table A124: Dynamic Model: Estimating the Impact of PTA on Pollution Level
eststo clear
eststo: xi: xtreg log_BOD L1log_BOD L1PTA i.year i.region  if oecd==0, robust
eststo: xi: xtreg log_BOD L1log_BOD L1PTA L1polity2 L1log_gdp_pc L1log_pop  i.year i.region if oecd==0, robust
eststo: xi: xtreg log_BOD L1log_BOD L1PTA L1polity2 L1log_gdp_pc L1log_pop L1life_expectancy L1urban_pop_per i.year i.region if oecd==0, robust
eststo: xi: xtreg log_PM10 L1log_PM10 L1PTA i.year i.region if oecd==0, robust
eststo: xi: xtreg log_PM10 L1log_PM10 L1PTA L1polity2 L1log_gdp_pc L1log_pop  i.year i.region if oecd==0, robust
eststo: xi: xtreg log_PM10 L1log_PM10 L1PTA L1polity2 L1log_gdp_pc L1log_pop L1life_expectancy L1urban_pop_per i.year i.region if oecd==0, robust
*esttab using "Pollution2(dynamic)PTA2.tex", booktabs label title(Dynamic Model: Estimating the Impact of PTA on Pollution Level \label{pollution2(Dynamic)PTA}) keep (L1log_BOD L1log_PM10 L1PTA L1polity2 L1log_gdp_pc L1log_pop L1life_expectancy L1urban_pop_per) order (L1PTA L1polity2 L1log_gdp_pc L1log_pop L1life_expectancy L1urban_pop_per L1log_BOD L1log_PM10 )  mtitles ("" "" "" "" "" "")  stats(N_g N, labels(Countries Observations) fmt(0 0)) indicate("Year FE=_Iyear_*" "Region FE=_Iregion_*" ) nodepvars se(3) b(3) replace star(* 0.10 ** 0.05 *** 0.01) compress nogaps

*Table A125: Difference in Difference: Estimating the Impact of PTA on Energy Use
eststo clear
eststo: xi: xtreg electricity_coal_production PTA i.year  if oecd==0,  fe robust
eststo: xi: xtreg electricity_coal_production PTA polity2 log_gdp_pc log_pop i.year if oecd==0 ,  fe robust
eststo: xi: xtreg electricity_coal_production PTA polity2 log_gdp_pc log_pop life_expectancy urban_pop_per i.year if oecd==0 ,  fe robust
eststo: xi: xtreg electricity_production_renew PTA i.year if oecd==0 ,  fe robust
eststo: xi: xtreg electricity_production_renew PTA polity2 log_gdp_pc log_pop i.year if oecd==0 ,  fe robust
eststo: xi: xtreg electricity_production_renew PTA polity2 log_gdp_pc log_pop life_expectancy urban_pop_per i.year  if oecd==0,  fe robust
*esttab using "Energy(did)PTA2.tex", booktabs label title(Difference in Difference: Estimating the Impact of PTA on Energy Use \label{energy(DID)PTA}) keep (PTA polity2 log_gdp_pc log_pop life_expectancy urban_pop_per) order (PTA polity2 log_gdp_pc log_pop life_expectancy urban_pop_per)  mtitles ("" "" "" "" "" "" "" "" "")  stats(N_g N, labels(Countries Observations) fmt(0 0)) indicate("Year FE=_Iyear_*" ) nodepvars se(3) b(3) replace star(* 0.10 ** 0.05 *** 0.01) compress nogaps

*Table A126: Dynamic Model: Estimating the Impact of PTA on Energy Use
eststo clear
eststo: xi: xtreg electricity_coal_production L1electricity_coal_production L1PTA i.year i.region if oecd==0, robust
eststo: xi: xtreg electricity_coal_production L1electricity_coal_production L1PTA L1polity2 L1log_gdp_pc L1log_pop  i.year i.region if oecd==0, robust
eststo: xi: xtreg electricity_coal_production L1electricity_coal_production L1PTA L1polity2 L1log_gdp_pc L1log_pop L1life_expectancy L1urban_pop_per i.year i.region if oecd==0, robust
eststo: xi: xtreg electricity_production_renew L1electricity_production_renew L1PTA i.year i.region if oecd==0, robust
eststo: xi: xtreg electricity_production_renew L1electricity_production_renew L1PTA L1polity2 L1log_gdp_pc L1log_pop  i.year i.region if oecd==0, robust
eststo: xi: xtreg electricity_production_renew L1electricity_production_renew L1PTA L1polity2 L1log_gdp_pc L1log_pop L1life_expectancy L1urban_pop_per i.year i.region if oecd==0, robust
*esttab using "Energy(dynamic)PTA2.tex", booktabs label title(Dynamic Model: Estimating the Impact of PTA on Energy Use \label{energy(Dynamic)PTA}) keep (L1electricity_coal_production L1electricity_production_renew L1PTA L1polity2 L1log_gdp_pc L1log_pop L1life_expectancy L1urban_pop_per) order (L1PTA L1polity2 L1log_gdp_pc L1log_pop L1life_expectancy L1urban_pop_per L1electricity_coal_production L1electricity_production_renew)  mtitles ("" "" "" "" "" "")  stats(N_g N, labels(Countries Observations) fmt(0 0)) indicate("Year FE=_Iyear_*" "Region FE=_Iregion_*" ) nodepvars se(3) b(3) replace star(* 0.10 ** 0.05 *** 0.01) compress nogaps

*Table A127: Estimating the Impact of PTA on Emission Standards and FIT
eststo clear
eststo: xi: xtoprobit auto_emissions_reg L1auto_emissions_reg PTA time time2 time3 i.region if oecd==0, vce(robust)
eststo: xi: xtoprobit auto_emissions_reg L1auto_emissions_reg PTA polity2 log_gdp_pc  time time2 time3 i.region if oecd==0, vce(robust)
eststo: xi: xtoprobit auto_emissions_reg L1auto_emissions_reg PTA polity2 log_gdp_pc  life_expectancy urban_pop_per  time time2 time3 i.region if oecd==0, vce(robust)
eststo: xi: xtprobit FIT1 PTA time time2 time3 i.region_id if oecd==0
eststo: xi: xtprobit FIT1 PTA polity2 log_gdp_pc log_pop time time2 time3 i.region_id if oecd==0
eststo: xi: xtprobit FIT1 PTA polity2 log_gdp_pc log_pop life_expectancy urban_pop_per time time2 time3 i.region_id if oecd==0
*esttab using "FIT&ENVMIN&AUTO(probit)PTA.tex", booktabs label title(Estimating the Impact of PTA on FIT/Environmental Ministry/Emission Standards \label{FITENVPTA}) keep (PTA polity2 log_gdp_pc log_pop life_expectancy urban_pop_per L1auto_emissions_reg) order (PTA polity2 log_gdp_pc log_pop life_expectancy urban_pop_per L1auto_emissions_reg)  mtitles ("" "" "" "" "" "" "" "" "")  stats(N_g N, labels(Countries Observations) fmt(0 0)) indicate("Time Trend=time" ) nodepvars se(3) b(3) replace star(* 0.10 ** 0.05 *** 0.01) compress nogaps


*******Controlling for Environmental Agreements

gen L1montreal=L1.montreal
label var L1montreal "Montreal Protocol (t-1)"
label var montreal "Montreal Protocol"

gen L1LRTAP=L1.LRTAP
label var L1LRTAP "LRTAP (t-1)"
label var LRTAP "LRTAP"

gen L1kyoto=L1.kyoto
label var L1kyoto "Kyoto Protocol (t-1)"
label var kyoto "Kyoto Protocol"

*Table A128: Difference in Difference: Controlling for Environmental Agreements
set more 1
eststo clear
eststo: xi: xtreg log_SO2 gatt_wto polity2 log_gdp_pc log_pop life_expectancy urban_pop_per montreal LRTAP kyoto  i.year,  fe robust
eststo: xi: xtreg log_CO2 gatt_wto polity2 log_gdp_pc log_pop life_expectancy urban_pop_per montreal LRTAP kyoto i.year,  fe robust
eststo: xi: xtreg log_BOD gatt_wto polity2 log_gdp_pc log_pop life_expectancy urban_pop_per montreal LRTAP kyoto i.year,  fe robust
eststo: xi: xtreg log_PM10 gatt_wto polity2 log_gdp_pc log_pop life_expectancy urban_pop_per montreal LRTAP kyoto i.year,  fe robust
eststo: xi: xtreg electricity_coal_production gatt_wto polity2 log_gdp_pc log_pop life_expectancy urban_pop_per montreal LRTAP kyoto i.year  ,  fe robust
eststo: xi: xtreg electricity_production_renew gatt_wto polity2 log_gdp_pc log_pop life_expectancy urban_pop_per montreal LRTAP kyoto i.year  ,  fe robust
*esttab using "DID.tex", booktabs label title(Difference in Difference: Controlling for Environmental Agreements \label{EnvAgreement(DID)}) keep (gatt_wto polity2 log_gdp_pc log_pop life_expectancy urban_pop_per montreal LRTAP kyoto) order (gatt_wto polity2 log_gdp_pc log_pop life_expectancy urban_pop_per montreal LRTAP kyoto)  mtitles ("" "" "BOD" "PM10" "Coal" "Renewable" "" "")  stats(N_g N, labels(Countries Observations) fmt(0 0)) indicate("Year FE=_Iyear_*") nodepvars se(3) b(3) replace star(* 0.10 ** 0.05 *** 0.01) compress nogaps

*Table A129: Dynamic Model: Controlling for Environmental Agreements

eststo clear
eststo: xi: xtreg log_SO2 L1log_SO2 L1gatt_wto L1polity2 L1log_gdp_pc L1log_pop L1life_expectancy L1urban_pop_per L1montreal L1LRTAP L1kyoto i.year i.region, robust
eststo: xi: xtreg log_CO2 L1log_CO2 L1gatt_wto L1polity2 L1log_gdp_pc L1log_pop L1life_expectancy L1urban_pop_per L1montreal L1LRTAP L1kyoto i.year i.region, robust
eststo: xi: xtreg log_BOD L1log_BOD L1gatt_wto L1polity2 L1log_gdp_pc L1log_pop L1life_expectancy L1urban_pop_per L1montreal L1LRTAP L1kyoto i.year i.region, robust
eststo: xi: xtreg log_PM10 L1log_PM10 L1gatt_wto L1polity2 L1log_gdp_pc L1log_pop L1life_expectancy L1urban_pop_per L1montreal L1LRTAP L1kyoto i.year i.region, robust
eststo: xi: xtreg electricity_coal_production L1electricity_coal_production L1gatt_wto L1polity2 L1log_gdp_pc L1log_pop L1life_expectancy L1urban_pop_per  L1montreal L1LRTAP L1kyoto i.year i.region, robust
eststo: xi: xtreg electricity_production_renew L1electricity_production_renew L1gatt_wto L1polity2 L1log_gdp_pc L1log_pop L1life_expectancy L1urban_pop_per  L1montreal L1LRTAP L1kyoto i.year i.region, robust
*esttab using "Dynamic.tex", booktabs label title(Dynamic Model:  Controlling for Environmental Agreements \label{EnvAgreement(Dynamic)}) keep (L1log_SO2 L1log_CO2 L1log_BOD L1log_PM10 L1electricity_coal_production L1electricity_production_renew L1log_environment L1log_dirty L1gatt_wto L1polity2 L1log_gdp_pc L1log_pop L1life_expectancy L1urban_pop_per L1montreal L1LRTAP L1kyoto) order (L1gatt_wto L1polity2 L1log_gdp_pc L1log_pop L1life_expectancy L1urban_pop_per L1montreal L1LRTAP L1kyoto L1log_SO2 L1log_CO2 L1log_BOD L1log_PM10 L1electricity_coal_production L1electricity_production_renew L1log_environment L1log_dirty )  mtitles ("" "" "" "" "" "")  stats(N_g N, labels(Countries Observations) fmt(0 0)) indicate("Year FE=_Iyear_*" "Region FE=_Iregion_*" ) nodepvars se(3) b(3) replace star(* 0.10 ** 0.05 *** 0.01) compress nogaps 


*Table A130: Probit Model: Controlling for Environmental Agreements
eststo clear
eststo: xi: xtoprobit auto_emissions_reg gatt_wto polity2 log_gdp_pc life_expectancy urban_pop_per montreal LRTAP kyoto L1auto_emissions_reg time time2 time3 i.region, vce(robust)
eststo: xi: xtprobit FIT1 gatt_wto polity2 log_gdp_pc log_pop life_expectancy urban_pop_per montreal LRTAP kyoto time time2 time3 i.region, vce(robust)
*esttab using "Probit.tex", booktabs label title(Probit Model: Controlling for Environmental Agreements \label{EnvAgreement(Probit)}) keep (gatt_wto polity2 log_gdp_pc life_expectancy urban_pop_per montreal LRTAP kyoto L1auto_emissions_reg) order (gatt_wto polity2 log_gdp_pc life_expectancy urban_pop_per montreal LRTAP kyoto L1auto_emissions_reg)  mtitles ("Auto Emission" "FIT" "Env Ministries")  stats(N_g N, labels(Countries Observations) fmt(0 0)) indicate("Time Trends=time" "Region FE=_Iregion_*" ) nodepvars se(3) b(3) replace star(* 0.10 ** 0.05 *** 0.01) compress nogaps
